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-rw-r--r--changelog.d/15498.doc1
-rw-r--r--docs/development/database_schema.md34
2 files changed, 2 insertions, 33 deletions
diff --git a/changelog.d/15498.doc b/changelog.d/15498.doc
new file mode 100644
index 0000000000..78715b8a3e
--- /dev/null
+++ b/changelog.d/15498.doc
@@ -0,0 +1 @@
+Update outdated development docs that mention restrictions in versions of SQLite that we no longer support.
diff --git a/docs/development/database_schema.md b/docs/development/database_schema.md
index 29945c264e..e231be21dd 100644
--- a/docs/development/database_schema.md
+++ b/docs/development/database_schema.md
@@ -155,43 +155,11 @@ def run_upgrade(
 Boolean columns require special treatment, since SQLite treats booleans the
 same as integers.
 
-There are three separate aspects to this:
-
- * Any new boolean column must be added to the `BOOLEAN_COLUMNS` list in
+Any new boolean column must be added to the `BOOLEAN_COLUMNS` list in
    `synapse/_scripts/synapse_port_db.py`. This tells the port script to cast
    the integer value from SQLite to a boolean before writing the value to the
    postgres database.
 
- * Before SQLite 3.23, `TRUE` and `FALSE` were not recognised as constants by
-   SQLite, and the `IS [NOT] TRUE`/`IS [NOT] FALSE` operators were not
-   supported. This makes it necessary to avoid using `TRUE` and `FALSE`
-   constants in SQL commands.
-
-   For example, to insert a `TRUE` value into the database, write:
-
-   ```python
-   txn.execute("INSERT INTO tbl(col) VALUES (?)", (True, ))
-   ```
-
- * Default values for new boolean columns present a particular
-   difficulty. Generally it is best to create separate schema files for
-   Postgres and SQLite. For example:
-
-   ```sql
-   # in 00delta.sql.postgres:
-   ALTER TABLE tbl ADD COLUMN col BOOLEAN DEFAULT FALSE;
-   ```
-
-   ```sql
-   # in 00delta.sql.sqlite:
-   ALTER TABLE tbl ADD COLUMN col BOOLEAN DEFAULT 0;
-   ```
-
-   Note that there is a particularly insidious failure mode here: the Postgres
-   flavour will be accepted by SQLite 3.22, but will give a column whose
-   default value is the **string** `"FALSE"` - which, when cast back to a boolean
-   in Python, evaluates to `True`.
-
 
 ## `event_id` global uniqueness